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Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records.

, , , , , and . F1000Research, (2018)

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Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records., , , , , , , , , and 2 other author(s). BMC Medical Informatics Decis. Mak., (2013)Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records., , , , , and . F1000Research, (2018)CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital., , , , , , , , , and 5 other author(s). BMC Medical Informatics Decis. Mak., 18 (1): 47:1-47:13 (2018)SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research., , , , , , , , , and 5 other author(s). J. Am. Medical Informatics Assoc., 25 (5): 530-537 (2018)TextHunter - A User Friendly Tool for Extracting Generic Concepts from Free Text in Clinical Research., , , , , and . AMIA, AMIA, (2014)Finding Negative Symptoms of Schizophrenia in Patient Records., , , and . RANLP (Medicine and Biology), page 9-17. INCOMA Ltd. Shoumen, BULGARIA, (2013)Detecting Positive Medical History Mentions., , , and . SIGIR, page 1049-1052. ACM, (2017)